Success Stories: EB-2 NIW Approval for Senior Computer Vision Engineer from Taiwan in the Field of Computer Science
Client’s Testimonial:
“I’d like to thank the Wegreened team for assisting me in obtaining EB-2 NIW Approval.”
On July 15th, 2025, we received another EB-2 NIW (National Interest Waiver) approval for a Senior Computer Vision Engineer in the Field of Computer Science (Approval Notice).
General Field: Computer Science
Position at the Time of Case Filing: Senior Computer Vision Engineer
Country of Origin: Taiwan
State of Residence at the Time of Filing: California
Approval Notice Date: July 15th, 2025
Processing Time: 7 months, 24 days (Premium Processing Requested)
Case Summary:
We are pleased to share the successful outcome of an EB-2 National Interest Waiver (NIW) petition for a senior computer vision engineer from Taiwan. With a strong foundation in computer science and practical experience in artificial intelligence, the client is currently working to reshape logistics through innovative AI-driven solutions. Her petition was approved on July 15, 2025, following an initial filing on November 21, 2024, and a Request for Evidence (RFE) issued on January 22, 2025.
Driving Innovation in AI-Based Robotics for Logistics
The client’s proposed endeavor centers on the development of scalable, AI-driven vision systems that enhance general-purpose warehouse robotics and streamline third-party logistics workflows. Her work seeks to reduce operational errors, cut costs, and improve adaptability in warehousing systems—an area deemed critical to national competitiveness and economic vitality. By contributing to the transformation of logistics infrastructure, her research addresses growing demand in e-commerce and supply chain resilience, with implications for both public and private sectors.
Strong Academic and Professional Foundation
Holding a master’s degree in computer vision, the client has pursued her specialization in industrial AI applications with notable success. Her research trajectory includes real-time object detection, anomaly identification, and reinforcement learning, particularly for warehouse automation and manufacturing contexts. In her current role, she continues to refine visual perception technologies for robotics, including algorithms for failure detection and predictive maintenance.
Recognition Through Publications and Citations
The client has documented her innovations in 1 peer-reviewed journal article, 4 peer-reviewed conference papers, and 2 granted patents. Her work has been accepted into highly regarded conferences such as the AAAI Conference on Artificial Intelligence and IEEE/CVF Winter Conference on Applications of Computer Vision. These outlets reflect top-tier recognition in the field of computer science, where conference proceedings often carry more weight than journal publications.
Her papers have collectively received 121 citations, a testament to the influence and practical application of her contributions. Notably, one of her articles ranks in the top 10% most-cited publications in its field for its year of publication, while another ranks in the top 20%, highlighting the sustained impact of her work.
Peer Validation and Field Impact
The client's research has been cited by other experts to inform diverse projects—from improving anomaly detection frameworks in surveillance systems to enhancing crack detection technologies in civil infrastructure. These citations demonstrate the tangible influence of her work across multiple sectors and disciplines.
Additionally, her research was honored with the Best Industry Impact Paper Award by the IEEE Signal Processing Society, further validating her standing as a thought leader in computer vision and AI-driven manufacturing.
NIW Approval and Outlook
In preparing and presenting this petition, the North America Immigration Law Group (NAILG) successfully demonstrated that the client’s work in advancing warehouse robotics through AI-driven computer vision holds both substantial merit and national importance. Her robust academic foundation, coupled with a record of impactful contributions and recognized influence, made a compelling case for approval. We are proud to have supported her in securing this NIW approval and look forward to her continued advancements in reshaping logistics and automation technologies in the United States.

